{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T21:29:41Z","timestamp":1773955781372,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T00:00:00Z","timestamp":1574640000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T00:00:00Z","timestamp":1574640000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s12530-019-09312-6","type":"journal-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T09:05:36Z","timestamp":1574672736000},"page":"15-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Heart disease detection using hybrid of bacterial foraging and particle swarm optimization"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1145-8442","authenticated-orcid":false,"given":"Padmavathi","family":"Kora","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajith","family":"Abraham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K","family":"Meenakshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,25]]},"reference":[{"key":"9312_CR1","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.ins.2017.06.027","volume":"415","author":"UR Acharya","year":"2017","unstructured":"Acharya UR, Fujita H, Oh SL, Hagiwara Y, Tan JH, Adam M (2017) Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf Sci 415:190\u2013198","journal-title":"Inf Sci"},{"key":"9312_CR2","first-page":"1","volume":"15","author":"P Angelov","year":"2006","unstructured":"Angelov P, Kasabov N (2006) Evolving intelligent systems, eIS. IEEE SMC eNewsLetter 15:1\u201313","journal-title":"IEEE SMC eNewsLetter"},{"issue":"1","key":"9312_CR3","first-page":"55","volume":"16","author":"R Anguluri","year":"2011","unstructured":"Anguluri R, Abraham A, Snasel V (2011) A Hybrid Bacterial foraging-PSO algorithm based tuning of optimal FOPI speed controller. Acta Montan Slovaca 16(1):55","journal-title":"Acta Montan Slovaca"},{"issue":"4","key":"9312_CR4","doi-asserted-by":"publisher","first-page":"3177","DOI":"10.1016\/j.eswa.2009.09.064","volume":"37","author":"\u0130 Babaoglu","year":"2010","unstructured":"Babaoglu \u0130, Findik O, \u00dclker E (2010) A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine. Expert Syst Appl 37(4):3177\u20133183","journal-title":"Expert Syst Appl"},{"key":"9312_CR5","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/978-3-540-74972-1_34","volume-title":"Innovations in hybrid intelligent systems","author":"A Biswas","year":"2007","unstructured":"Biswas A, Dasgupta S, Das S, Abraham A (2007) Synergy of PSO and bacterial foraging optimization\u2014a comparative study on numerical benchmarks. In: Corchado E, Corchado JM, Abraham A (eds) Innovations in hybrid intelligent systems, vol 44. Springer, Berlin, Heidelberg, pp 255\u2013263"},{"issue":"4","key":"9312_CR6","first-page":"1","volume":"2","author":"R Ceylan","year":"2011","unstructured":"Ceylan R, \u00d6zbay Y (2011) Wavelet neural network for classification of bundle branch blocks. Proc World Congr Eng 2(4):1\u20135","journal-title":"Proc World Congr Eng"},{"key":"9312_CR7","first-page":"23","volume-title":"Foundations of computational intelligence","author":"S Das","year":"2009","unstructured":"Das S, Biswas A, Dasgupta S, Abraham A (2009) Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications. In: Abraham A, Hassanien AE, Siarry P, Engelbrecht A (eds) Foundations of computational intelligence, vol 3. Springer, Berlin, Heidelberg, pp 23\u201355"},{"key":"9312_CR8","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.ijepes.2014.01.011","volume":"58","author":"S Debbarma","year":"2014","unstructured":"Debbarma S, Saikia LC, Sinha N (2014) Automatic generation control using two degree of freedom fractional order PID controller. Int J Electr Power Energy Syst 58:120\u2013129","journal-title":"Int J Electr Power Energy Syst"},{"issue":"3","key":"9312_CR9","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1080\/15325008.2014.981320","volume":"43","author":"AS El-Wakeel","year":"2015","unstructured":"El-Wakeel AS, Ellissy AEEKM, Abdel-hamed AM (2015) A hybrid bacterial foraging-particle swarm optimization technique for optimal tuning of proportional-integral-derivative controller of a permanent magnet brushless DC motor. Electric Power Compon Syst 43(3):309\u2013319","journal-title":"Electric Power Compon Syst"},{"issue":"15","key":"9312_CR10","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1016\/j.patrec.2004.06.014","volume":"25","author":"M Engin","year":"2004","unstructured":"Engin M (2004) ECG beat classification using neuro-fuzzy network. Pattern Recogn Lett 25(15):1715\u20131722","journal-title":"Pattern Recogn Lett"},{"key":"9312_CR11","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.seizure.2015.01.012","volume":"26","author":"O Faust","year":"2015","unstructured":"Faust O, Acharya UR, Adeli H, Adeli A (2015) Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis. Seizure 26:56\u201364","journal-title":"Seizure"},{"issue":"1","key":"9312_CR12","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1109\/TSC.2015.2439695","volume":"9","author":"S Fong","year":"2016","unstructured":"Fong S, Wong R, Vasilakos AV (2016) Accelerated PSO swarm search feature selection for data stream mining big data. IEEE Trans Serv Comput 9(1):33\u201345","journal-title":"IEEE Trans Serv Comput"},{"issue":"1","key":"9312_CR13","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s00366-011-0241-y","volume":"29","author":"AH Gandomi","year":"2013","unstructured":"Gandomi AH, Yang XS, Alavi AH (2013) Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng Comput 29(1):17\u201335","journal-title":"Eng Comput"},{"issue":"3","key":"9312_CR14","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1016\/j.asoc.2009.02.014","volume":"9","author":"MP Garcia","year":"2009","unstructured":"Garcia MP, Montiel O, Castillo O, Sep\u00falveda R, Melin P (2009) Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation. Appl Soft Comput 9(3):1102\u20131110","journal-title":"Appl Soft Comput"},{"key":"9312_CR15","first-page":"1","volume-title":"Wavelets in Neuroscience","author":"Alexander E. Hramov","year":"2014","unstructured":"Hramov AE, Koronovskii AA, Makarov VA, Pavlov AN, Sitnikova E (2015) Mathematical methods of signal processing in neuroscience. In: Wavelets in neuroscience. Springer, Berlin, Heidelberg, pp 1\u201313"},{"key":"9312_CR16","doi-asserted-by":"publisher","unstructured":"Kaveh A, Chung W (2013) Automated classification of coronary atherosclerosis using single lead ECG. In: 2013 IEEE conference on wireless sensor (ICWISE). IEEE, pp 108\u2013113. https:\/\/doi.org\/10.1109\/ICWISE.2013.6728790","DOI":"10.1109\/ICWISE.2013.6728790"},{"key":"9312_CR17","doi-asserted-by":"crossref","unstructured":"Kim WS, Jin SH, Park YK, Choi HM (2007) A study on development of multi-parametric measure of heart rate variability diagnosing cardiovascular disease. In: World congress on medical physics and biomedical engineering 2006. Springer, Berlin, Heidelberg, pp 3480\u20133483","DOI":"10.1007\/978-3-540-36841-0_880"},{"key":"9312_CR18","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.cmpb.2017.09.015","volume":"152","author":"P Kora","year":"2017","unstructured":"Kora P (2017) ECG based myocardial infarction detection using hybrid firefly algorithm. Comput Methods Programs Biomed 152:141\u2013148","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"9312_CR19","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1186\/s40064-015-1240-z","volume":"4","author":"P Kora","year":"2015","unstructured":"Kora P, Kalva SR (2015) Hybrid bacterial foraging and particle swarm optimization for detecting bundle branch block. SpringerPlus 4(1):481","journal-title":"SpringerPlus"},{"issue":"12","key":"9312_CR20","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.12980\/APJTB.4.201414B401","volume":"4","author":"A Kumar","year":"2014","unstructured":"Kumar A (2014) Changing trends of cardiovascular risk factors among Indians: a review of emerging risks. Asian Pac J Trop Biomed 4(12):1001\u20131008","journal-title":"Asian Pac J Trop Biomed"},{"issue":"1","key":"9312_CR21","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.ijepes.2011.10.016","volume":"36","author":"KS Kumar","year":"2012","unstructured":"Kumar KS, Jayabarathi T (2012) Power system reconfiguration and loss minimization for an distribution systems using bacterial foraging optimization algorithm. Int J Electr Power Energy Syst 36(1):13\u201317","journal-title":"Int J Electr Power Energy Syst"},{"key":"9312_CR22","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.bspc.2016.08.018","volume":"31","author":"M Kumar","year":"2017","unstructured":"Kumar M, Pachori RB, Acharya UR (2017) Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals. Biomed Signal Process Control 31:301\u2013308","journal-title":"Biomed Signal Process Control"},{"issue":"1","key":"9312_CR23","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.asoc.2006.10.012","volume":"8","author":"ZJ Lee","year":"2008","unstructured":"Lee ZJ, Su SF, Chuang CC, Liu KH (2008) Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment. Appl Soft Comput 8(1):55\u201378","journal-title":"Appl Soft Comput"},{"issue":"1","key":"9312_CR24","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1109\/TBME.2012.2208112","volume":"60","author":"J Lee","year":"2013","unstructured":"Lee J, Reyes BA, McManus DD, Maitas O, Chon KH (2013) Atrial fibrillation detection using an iPhone 4S. IEEE Trans Biomed Eng 60(1):203\u2013206","journal-title":"IEEE Trans Biomed Eng"},{"key":"9312_CR25","doi-asserted-by":"crossref","unstructured":"Lehtinen R, Hoist O, Turjanmaa V, Edenbrandt L, Pahlm O, Malmivuo J (1998) Artificial neural network for the exercise electrocardiographic detection of coronary artery disease. In: Proceedings of the 2nd international conference on bioelectromagnetism (Cat. No. 98TH8269). IEEE, pp 57\u201358","DOI":"10.1109\/ICBEM.1998.666393"},{"issue":"3","key":"9312_CR26","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/BF02345292","volume":"39","author":"K Lewenstein","year":"2001","unstructured":"Lewenstein K (2001) Radial basis function neural network approach for the diagnosis of coronary artery disease based on the standard electrocardiogram exercise test. Med Biol Eng Comput 39(3):362\u2013367","journal-title":"Med Biol Eng Comput"},{"issue":"6","key":"9312_CR27","doi-asserted-by":"publisher","first-page":"10097","DOI":"10.1016\/j.eswa.2009.01.012","volume":"36","author":"R Majhi","year":"2009","unstructured":"Majhi R, Panda G, Majhi B, Sahoo G (2009) Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques. Expert Syst Appl 36(6):10097\u201310104","journal-title":"Expert Syst Appl"},{"key":"9312_CR28","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1934784","author":"AM Manasrah","year":"2018","unstructured":"Manasrah AM, Ba Ali H (2018) Workflow scheduling using hybrid ga-pso algorithm in cloud computing. Wirel Commun Mobile Comput. https:\/\/doi.org\/10.1155\/2018\/1934784","journal-title":"Wirel Commun Mobile Comput"},{"issue":"4","key":"9312_CR29","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/s12530-017-9192-x","volume":"8","author":"R Moeini","year":"2017","unstructured":"Moeini R, Babaei M (2017) Constrained improved particle swarm optimization algorithm for optimal operation of large scale reservoir: proposing three approaches. Evol Syst 8(4):287\u2013301","journal-title":"Evol Syst"},{"key":"9312_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-019-09263-y","author":"B Ord\u00f3\u00f1ez-De Le\u00f3n","year":"2019","unstructured":"Ord\u00f3\u00f1ez-De Le\u00f3n B, Aceves-Fernandez MA, Fernandez-Fraga SM, Ramos-Arregu\u00edn JM, Gorrostieta-Hurtado E (2019) An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10). Evol Syst. https:\/\/doi.org\/10.1007\/s12530-019-09263-y","journal-title":"Evol Syst"},{"key":"9312_CR31","doi-asserted-by":"publisher","unstructured":"Padmavathi K, Krishna KSR (2014) Myocardial infarction detection using magnitude squared coherence and support vector machine. In: 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 7-8 November 2014, Greater Noida, India. IEEE, pp 382\u2013385. https:\/\/doi.org\/10.1109\/MedCom.2014.7006037","DOI":"10.1109\/MedCom.2014.7006037"},{"key":"9312_CR32","doi-asserted-by":"publisher","unstructured":"Rajasekhar A, Jatoth RK, Abraham A, Snasel V (2011) A novel hybrid ABF-PSO algorithm based tuning of optimal FOPI speed controller for PMSM drive. In: 2011 12th International Carpathian Control Conference (ICCC). IEEE, pp 320\u2013325. https:\/\/doi.org\/10.1109\/CarpathianCC.2011.5945872","DOI":"10.1109\/CarpathianCC.2011.5945872"},{"key":"9312_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-018-1420-0","author":"M Raju","year":"2018","unstructured":"Raju M, Gupta MK, Bhanot N, Sharma VS (2018) A hybrid PSO-BFO evolutionary algorithm for optimization of fused deposition modelling process parameters. J Intell Manuf. https:\/\/doi.org\/10.1007\/s10845-018-1420-0","journal-title":"J Intell Manuf"},{"key":"9312_CR34","first-page":"107","volume-title":"Recent advances in computational optimization, Studies in Computational Intelligence","author":"O Roeva","year":"2016","unstructured":"Roeva O, Fidanova S, Paprzycki M (2016) InterCriteria analysis of ACO and GA hybrid algorithms. In: Fidanova S (ed) Recent advances in computational optimization, Studies in Computational Intelligence, vol 610. Springer, Cham, pp 107\u2013126"},{"issue":"2","key":"9312_CR35","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/S0196-0644(88)80298-1","volume":"17","author":"DM Schreck","year":"1988","unstructured":"Schreck DM, Ng L, Schreck BS, Bosco SF, Allegra JR, Zacharias D, Wortzel JV (1988) Detection of coronary artery disease from the normal resting ECG using nonlinear mathematical transformation. Ann Emerg Med 17(2):132\u2013134","journal-title":"Ann Emerg Med"},{"issue":"2","key":"9312_CR36","first-page":"123","volume":"18","author":"K Shanmugasundaram","year":"2019","unstructured":"Shanmugasundaram K, Mohmed ASA, Ruhaiyem NIR, Mizher MAA, Choo AM, Abdullah SNHS, Razi MJM (2019) Hybrid improved bacterial swarm optimization algorithm for hand-based multimodal biometric authentication system. J ICT 18(2):123\u2013141","journal-title":"J ICT"},{"key":"9312_CR37","doi-asserted-by":"publisher","unstructured":"Sridhar C, Acharya UR, Fujita H, Bairy GM (2016) Automated diagnosis of coronary artery disease using nonlinear features extracted from ECG signals. In: 2016 IEEE international conference on systems, man, and cybernetics (SMC). IEEE, pp 545\u2013549. https:\/\/doi.org\/10.1109\/SMC.2016.7844296","DOI":"10.1109\/SMC.2016.7844296"},{"issue":"10","key":"9312_CR38","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1080\/17415977.2017.1411911","volume":"26","author":"JH Tam","year":"2018","unstructured":"Tam JH, Ong ZC, Ismail Z, Ang BC, Khoo SY, Li WL (2018) Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm. Inverse Probl Sci Eng 26(10):1432\u20131463","journal-title":"Inverse Probl Sci Eng"},{"key":"9312_CR39","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139839099","volume-title":"Foundations of signal processing","author":"M Vetterli","year":"2014","unstructured":"Vetterli M, Kova\u010devi\u0107 J, Goyal VK (2014) Foundations of signal processing. Cambridge University Press, Cambridge"},{"key":"9312_CR40","doi-asserted-by":"publisher","unstructured":"Xizhi Z (2008) The application of wavelet transform in digital image processing. In: 2008 International Conference on MultiMedia and Information Technology. IEEE, pp 326\u2013329. https:\/\/doi.org\/10.1109\/MMIT.2008.134","DOI":"10.1109\/MMIT.2008.134"},{"key":"9312_CR41","doi-asserted-by":"crossref","unstructured":"Yang XS (2010) Firefly algorithm, stochastic test functions and design optimisation. arXiv:1003.1409","DOI":"10.1504\/IJBIC.2010.032124"},{"issue":"8","key":"9312_CR42","doi-asserted-by":"publisher","first-page":"6211","DOI":"10.1007\/s12517-014-1584-7","volume":"8","author":"ZS Younus","year":"2015","unstructured":"Younus ZS, Mohamad D, Saba T, Alkawaz MH, Rehman A, Al-Rodhaan M, Al-Dhelaan A (2015) Content-based image retrieval using PSO and k-means clustering algorithm. Arab J Geosci 8(8):6211\u20136224","journal-title":"Arab J Geosci"},{"issue":"3","key":"9312_CR43","doi-asserted-by":"publisher","first-page":"1911","DOI":"10.1016\/j.eswa.2009.07.025","volume":"37","author":"Y Zhang","year":"2010","unstructured":"Zhang Y, Jun Y, Wei G, Wu L (2010) Find multi-objective paths in stochastic networks via chaotic immune PSO. Expert Syst Appl 37(3):1911\u20131919","journal-title":"Expert Syst Appl"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-019-09312-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-019-09312-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-019-09312-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T08:45:03Z","timestamp":1695458703000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-019-09312-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,25]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["9312"],"URL":"https:\/\/doi.org\/10.1007\/s12530-019-09312-6","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,25]]},"assertion":[{"value":"22 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 November 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}